Title of article
Spatial and temporal dynamics of river channel migration and vegetation in central Amazonian white-water floodplains by remote-sensing techniques
Author/Authors
Peixoto، نويسنده , , Juliana Maerschner Aguiar and Nelson، نويسنده , , Bruce Walker and Wittmann، نويسنده , , Florian، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2009
Pages
9
From page
2258
To page
2266
Abstract
We investigated spatial and temporal migration of the Solimões, the Japurá, and the Aranapu River channels in western Brazilian Amazonia with Landsat TM imagery over a 21-year period. Additionally, we classified and monitored how channel migrations affect the distribution of pioneer vegetation and old-growth forest. The cloud-free study area was 153,032 ha — open water plus 3 km inland on each margin. The channel migration rates, expressed as percent dislocation of the open water body of the river year− 1, were lowest in the Japurá River (1.2%), and highest in the Aranapu channel (2.5%), the point bars at river confluence being the most affected landforms subject to geomorphic changes. Annual rates of lateral erosion and accretion of vegetated land along the three rivers were well-balanced. They averaged 0.79 and 0.83% of the cloud-free channel area over the 21 years. The Solimões River was more dynamic than the Japurá River, which can be traced to higher water discharge and sediment load. During the 21 years, the area covered by pioneer vegetation increased by 5.8% of the study area, while late-succession areas decreased by a similar amount (5.5%). According to local biomass estimates of the different vegetation types, these values suggest that C-releases by alluvial erosion would be much higher than C-sequestration caused by the creation of areas suitable for colonization by pioneer vegetation at our study site.
Keywords
Remote sensing , Wetland mapping , Vلrzea , Alluvial geomorphology , Cecropia forest , Central Amazon Basin , C-sequestration , Vegetation
Journal title
Remote Sensing of Environment
Serial Year
2009
Journal title
Remote Sensing of Environment
Record number
1629376
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